机构:
Dankook Univ, Coll Hlth Sci, Dept Nursing, Cheonan, South KoreaDankook Univ, Coll Hlth Sci, Dept Nursing, Cheonan, South Korea
Kim, Seon-Ha
[1
]
Ahn, Jeonghoon
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机构:
Natl Evidence Based Healthcare Collaborating Agcy, Div Healthcare Technol Assessment Res, Seoul, South KoreaDankook Univ, Coll Hlth Sci, Dept Nursing, Cheonan, South Korea
Ahn, Jeonghoon
[2
]
Ock, Minsu
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机构:
Univ Ulsan, Coll Med, Dept Prevent Med, 88 Olympicro 43gil, Seoul 138736, South KoreaDankook Univ, Coll Hlth Sci, Dept Nursing, Cheonan, South Korea
Ock, Minsu
[3
]
Shin, Sangjin
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机构:
Natl Evidence Based Healthcare Collaborating Agcy, Div Healthcare Technol Assessment Res, Seoul, South KoreaDankook Univ, Coll Hlth Sci, Dept Nursing, Cheonan, South Korea
Shin, Sangjin
[2
]
Park, Jooyeon
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机构:
Natl Evidence Based Healthcare Collaborating Agcy, Div Healthcare Technol Assessment Res, Seoul, South KoreaDankook Univ, Coll Hlth Sci, Dept Nursing, Cheonan, South Korea
EQ-5D-5L;
Quality of life;
Social values;
Composite time trade-off;
Discrete choice experiment;
Utility;
TRADE-OFF METHOD;
HEALTH STATES;
5-LEVEL VERSION;
CANCER-PATIENTS;
STANDARD EQ-5D;
SYSTEM;
MULTIATTRIBUTE;
POPULATION;
UTILITIES;
D O I:
10.1007/s11136-015-1205-2
中图分类号:
R19 [保健组织与事业(卫生事业管理)];
学科分类号:
摘要:
This study aimed to estimate Korean preference weights for EQ-5D-5L based on values elicited from Korean population by applying the EuroQol Valuation Technology (EQ-VT) program and the standard protocol by the EuroQol Group. The multistage quota sampling method was used to recruit 1085 subjects from the general population in Korea. Each respondent valuated 10 health states using the composite time trade-off (cTTO) and 7 health states using discrete choice experiment. The EQ-VT program was developed by the EuroQol Group and translated into Korean with the Korean research team. Computer-assisted, face-to-face interviews were conducted. A range of predictive models were explored using cTTO. The most appropriate model was determined after assessing goodness of fit, logical consistency, and parsimony. Of 3206 contacted, 1085 subjects completed interviews (33.8 %) and 1080 were used for modeling. A model with dummy variables for each level of severity and dimension and a term that picked up whether any dimension in the state was at level 4 or 5 was selected as the best predictive model. All coefficients of the final model were statistically significant and logically consistent. In addition, it was parsimonious. This model had mean absolute error of 0.027, and the absolute error for all 86 health states was below 0.1. The final model built in this study appears to predict the utilities of the states which were valuated directly. This model could be used to interpolate quality weights for all EQ-5D-5L health states.
机构:
Off Hlth Econ, London SW1A 2DY, EnglandOff Hlth Econ, London SW1A 2DY, England
Devlin, Nancy J.
Tsuchiya, Aki
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机构:
Univ Sheffield, Dept Econ, Sheffield, S Yorkshire, England
Univ Sheffield, Sch Hlth & Related Res, Sheffield, S Yorkshire, EnglandOff Hlth Econ, London SW1A 2DY, England
Tsuchiya, Aki
Buckingham, Ken
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机构:
Univ Otago, Dept Prevent Med, Otago, New ZealandOff Hlth Econ, London SW1A 2DY, England
Buckingham, Ken
Tilling, Carl
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机构:
Univ Sheffield, Sch Hlth & Related Res, Sheffield, S Yorkshire, EnglandOff Hlth Econ, London SW1A 2DY, England
机构:
Off Hlth Econ, London SW1A 2DY, EnglandOff Hlth Econ, London SW1A 2DY, England
Devlin, Nancy J.
Tsuchiya, Aki
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机构:
Univ Sheffield, Dept Econ, Sheffield, S Yorkshire, England
Univ Sheffield, Sch Hlth & Related Res, Sheffield, S Yorkshire, EnglandOff Hlth Econ, London SW1A 2DY, England
Tsuchiya, Aki
Buckingham, Ken
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机构:
Univ Otago, Dept Prevent Med, Otago, New ZealandOff Hlth Econ, London SW1A 2DY, England
Buckingham, Ken
Tilling, Carl
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机构:
Univ Sheffield, Sch Hlth & Related Res, Sheffield, S Yorkshire, EnglandOff Hlth Econ, London SW1A 2DY, England